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Neural Networks 2023: all accepted papers

643 papers · page 3 of 7 · the most cited first · ← Neural Networks 2023

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  1. Self-attention learning network for face super-resolution ↗Kangli Zeng, Zhongyuan Wang, Tao Lü et al.24 citations
  2. Subspace distillation for continual learning ↗Kaushik Roy, Christian Simon, Peyman Moghadam et al.24 citations
  3. A benchmarking protocol for SAR colorization: From regression to deep learning approaches ↗Kangqing Shen, Gemine Vivone, Xiaoyuan Yang et al.22 citations
  4. Approximation bounds for convolutional neural networks in operator learning ↗Nicola Rares Franco, Stefania Fresca, Andrea Manzoni et al.22 citations
  5. Contrast sensitivity function in deep networks ↗Arash Akbarinia, Yaniv Morgenstern, Karl R. Gegenfurtner22 citations
  6. Low-rank discrete multi-view spectral clustering ↗Yu Yun, Jing Li, Quanxue Gao et al.22 citations
  7. Single image denoising with a feature-enhanced network ↗Ruibin Zhuge, Jinghua Wang, Zenglin Xu et al.22 citations
  8. An interpretive constrained linear model for ResNet and MgNet ↗Juncai He, Jinchao Xu, Lian Zhang et al.21 citations
  9. Beyond multilayer perceptrons: Investigating complex topologies in neural networks ↗Tommaso Boccato, Matteo Ferrante, Andrea Duggento et al.21 citations
  10. Class-imbalanced complementary-label learning via weighted loss ↗Meng Wei, Yong Zhou, Zhongnian Li et al.21 citations
  11. DropAGG: Robust Graph Neural Networks via Drop Aggregation ↗Bo Jiang, Yong Chen, Beibei Wang et al.21 citations
  12. Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes ↗Lukas Paul Achatius Galke, Iacopo Vagliano, Benedikt Franke et al.21 citations
  13. Understanding neural network through neuron level visualization ↗Hui Dou, Furao Shen, Jian Ying Zhao et al.21 citations
  14. Evolution-communication spiking neural P systems with energy request rules ↗Liping Wang, Xiyu Liu, Minghe Sun et al.20 citations
  15. Heterogeneous context interaction network for vehicle re-identification ↗Ke Sun, Xiyu Pang, Meifeng Zheng et al.20 citations
  16. How to backdoor split learning ↗Fangchao Yu, Lina Wang, Bo Zeng et al.20 citations
  17. Neural network model for imprecise regression with interval dependent variables ↗Krasymyr Tretiak, Georg Schollmeyer, Scott A. Ferson20 citations
  18. Spiking neural P systems with lateral inhibition ↗Yuping Liu, Yuzhen Zhao20 citations
  19. Safe screening rules for multi-view support vector machines ↗Huiru Wang, Jiayi Zhu, Siyuan Zhang19 citations
  20. A learnable sampling method for scalable graph neural networks ↗Weichen Zhao, Tiande Guo, Xiaoxi Yu et al.18 citations
  21. Boosting semi-supervised learning with Contrastive Complementary Labeling ↗Qinyi Deng, Yong Fang Guo, Zhibang Yang et al.18 citations
  22. Causal multi-label learning for image classification ↗Yingjie Tian, Kunlong Bai, Xiaotong Yu et al.18 citations
  23. Co-attention enabled content-based image retrieval ↗Zechao Hu, Adrian G. Borş18 citations
  24. Contrastive encoder pre-training-based clustered federated learning for heterogeneous data ↗Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal et al.18 citations
  25. Generalized heterophily graph data augmentation for node classification ↗Bisheng Tang, Xiaojun Chen, Shaopu Wang et al.18 citations
  26. Remix: Towards the transferability of adversarial examples ↗Hongzhi Zhao, Lingguang Hao, Kuangrong Hao et al.18 citations

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